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ORCID43rd GCPR 2021: Bonn, Germany
- Christian Bauckhage
, Juergen Gall, Alexander G. Schwing:
Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28 - October 1, 2021, Proceedings. Lecture Notes in Computer Science 13024, Springer 2021, ISBN 978-3-030-92658-8
Machine Learning and Optimization
- Zhenzhang Ye, Bjoern Haefner, Yvain Quéau, Thomas Möllenhoff, Daniel Cremers:
Sublabel-Accurate Multilabeling Meets Product Label Spaces. 3-17 - Robert Harb, Patrick Knöbelreiter:
InfoSeg: Unsupervised Semantic Image Segmentation with Mutual Information Maximization. 18-32 - Jannik Schmitt, Stefan Roth:
Sampling-Free Variational Inference for Neural Networks with Multiplicative Activation Noise. 33-47 - Christian Reimers, Paul Bodesheim, Jakob Runge, Joachim Denzler:
Conditional Adversarial Debiasing: Towards Learning Unbiased Classifiers from Biased Data. 48-62 - Yue Fan, Anna Kukleva, Bernt Schiele:
Revisiting Consistency Regularization for Semi-supervised Learning. 63-78 - Jens Müller, Robert Schmier, Lynton Ardizzone, Carsten Rother, Ullrich Köthe:
Learning Robust Models Using the Principle of Independent Causal Mechanisms. 79-110 - Alexander Shekhovtsov, Viktor Yanush:
Reintroducing Straight-Through Estimators as Principled Methods for Stochastic Binary Networks. 111-126 - Alexander Shekhovtsov:
Bias-Variance Tradeoffs in Single-Sample Binary Gradient Estimators. 127-141 - Dimitri Korsch, Paul Bodesheim, Joachim Denzler:
End-to-End Learning of Fisher Vector Encodings for Part Features in Fine-Grained Recognition. 142-158 - Niklas Penzel, Christian Reimers, Clemens-Alexander Brust, Joachim Denzler:
Investigating the Consistency of Uncertainty Sampling in Deep Active Learning. 159-173 - Huili Huang, Max Mahdi Roozbahani:
ScaleNet: An Unsupervised Representation Learning Method for Limited Information. 174-188
Actions, Events, and Segmentation
- Shreyank N. Gowda, Laura Sevilla-Lara, Kiyoon Kim, Frank Keller, Marcus Rohrbach:
A New Split for Evaluating True Zero-Shot Action Recognition. 191-205 - Joakim Johnander, Emil Brissman, Martin Danelljan, Michael Felsberg:
Video Instance Segmentation with Recurrent Graph Neural Networks. 206-221 - Andreas Robinson, Abdelrahman Eldesokey, Michael Felsberg:
Distractor-Aware Video Object Segmentation. 222-234 - Anurag Das, Yongqin Xian, Yang He, Bernt Schiele, Zeynep Akata:
(SP)2Net for Generalized Zero-Label Semantic Segmentation. 235-249 - Christian Zimmermann, Max Argus, Thomas Brox:
Contrastive Representation Learning for Hand Shape Estimation. 250-264 - Michael Duhme, Raphael Memmesheimer, Dietrich Paulus:
Fusion-GCN: Multimodal Action Recognition Using Graph Convolutional Networks. 265-281 - Yaser Souri, Yazan Abu Farha, Fabien Despinoy, Gianpiero Francesca, Juergen Gall:
FIFA: Fast Inference Approximation for Action Segmentation. 282-296 - Alexander Kugele, Thomas Pfeil, Michael Pfeiffer, Elisabetta Chicca:
Hybrid SNN-ANN: Energy-Efficient Classification and Object Detection for Event-Based Vision. 297-312 - Samim Zahoor Taray, Sunil Prasad Jaiswal, Shivam Sharma, Noshaba Cheema, Klaus Illgner-Fehns, Philipp Slusallek, Ivo Ihrke:
A Comparative Study of PnP and Learning Approaches to Super-Resolution in a Real-World Setting. 313-327 - Prashant Chaudhari, Franziska Schirrmacher, Andreas Maier, Christian Riess, Thomas Köhler:
Merging-ISP: Multi-exposure High Dynamic Range Image Signal Processing. 328-342 - Haebom Lee, Robert Herzog, Jan Rexilius, Carsten Rother:
Spatiotemporal Outdoor Lighting Aggregation on Image Sequences. 343-357
Generative Models and Multimodal Data
- Stanislav Frolov, Avneesh Sharma, Jörn Hees, Tushar Karayil, Federico Raue, Andreas Dengel:
AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style. 361-375 - Maxim Samarin, Vitali Nesterov, Mario Wieser, Aleksander Wieczorek, Sonali Parbhoo, Volker Roth:
Learning Conditional Invariance Through Cycle Consistency. 376-391 - Henning Schulze, Dogucan Yaman, Alexander Waibel:
CAGAN: Text-To-Image Generation with Combined Attention Generative Adversarial Networks. 392-404 - Jan-Martin O. Steitz, Jonas Pfeiffer, Iryna Gurevych, Stefan Roth:
TxT: Crossmodal End-to-End Learning with Transformers. 405-420 - Franz Klein, Shweta Mahajan, Stefan Roth:
Diverse Image Captioning with Grounded Style. 421-436
Labeling and Self-Supervised Learning
- Daniel Pototzky, Matthias Kirschner, Lars Schmidt-Thieme:
Leveraging Group Annotations in Object Detection Using Graph-Based Pseudo-labeling. 439-452 - Daniel Gonzalez-Alvarado, Alexander Zeilmann, Christoph Schnörr:
Quantifying Uncertainty of Image Labelings Using Assignment Flows. 453-466 - Faisal Alamri, Anjan Dutta:
Implicit and Explicit Attention for Zero-Shot Learning. 467-483 - Daniel Pototzky, Azhar Sultan, Matthias Kirschner, Lars Schmidt-Thieme:
Self-supervised Learning for Object Detection in Autonomous Driving. 484-497 - Dmitrij Sitenko, Bastian Boll, Christoph Schnörr:
Assignment Flows and Nonlocal PDEs on Graphs. 498-512
Applications
- Shiming Wang, Fabiola Maffra, Ruben Mascaro, Lucas Teixeira, Margarita Chli:
Viewpoint-Tolerant Semantic Segmentation for Aerial Logistics. 515-529 - Arash Amini, Arul Selvam Periyasamy, Sven Behnke:
T6D-Direct: Transformers for Multi-object 6D Pose Direct Regression. 530-544 - Laura Dörr, Felix Brandt, Alexander Naumann, Martin Pouls:
TetraPackNet: Four-Corner-Based Object Detection in Logistics Use-Cases. 545-558 - Christian von Koch, William Anzén, Max Fischer, Raazesh Sainudiin:
Detecting Slag Formations with Deep Convolutional Neural Networks. 559-573 - Alireza Ahmadi, Michael Halstead, Chris McCool:
Virtual Temporal Samples for Recurrent Neural Networks: Applied to Semantic Segmentation in Agriculture. 574-588 - Matthias Körschens, Paul Bodesheim, Christine Römermann, Solveig Franziska Bucher, Mirco Migliavacca, Josephine Ulrich, Joachim Denzler:
Weakly Supervised Segmentation Pretraining for Plant Cover Prediction. 589-603 - Antoine Sanner, Camila González, Anirban Mukhopadhyay:
How Reliable Are Out-of-Distribution Generalization Methods for Medical Image Segmentation? 604-617
3D Modeling and Reconstruction
- Philipp J. Schneider, Uwe Soergel:
Clustering Persistent Scatterer Points Based on a Hybrid Distance Metric. 621-632 - Michael Kölle, Volker Walter, Ivan Shiller, Uwe Soergel:
CATEGORISE: An Automated Framework for Utilizing the Workforce of the Crowd for Semantic Segmentation of 3D Point Clouds. 633-648 - Rupak Bose, Vikrant Rangnekar, Biplab Banerjee, Subhasis Chaudhuri:
Zero-Shot Remote Sensing Image Super-Resolution Based on Image Continuity and Self Tessellations. 649-662 - Mariya Kaisheva, Volker Rodehorst:
A Comparative Survey of Geometric Light Source Calibration Methods. 663-680 - Larissa T. Triess, David Peter, Stefan A. Baur, J. Marius Zöllner:
Quantifying Point Cloud Realism Through Adversarially Learned Latent Representations. 681-696 - Moein Sorkhei, Gustav Eje Henter, Hedvig Kjellström:
Full-Glow: Fully Conditional Glow for More Realistic Image Generation. 697-711 - Simon Weber, Nikolaus Demmel, Daniel Cremers:
Multidirectional Conjugate Gradients for Scalable Bundle Adjustment. 712-724
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